Launched in November of 2022, the generative artificial intelligence tool ChatGPT garnered immediate societal interest and adoption as its advanced large language modeling proved capable of producing sophisticated, human-like responses to user-generated prompts. In this preliminary study, K-12 teachers in the United States were surveyed on their…

In 2022, generative artificial intelligence (GenAI) chatbots like ChatGPT were released to the public and were rapidly embraced by many. Educational stakeholders are divided about whether to incorporate or ban chatbot usage in classrooms. Student engagement, a meta construct comprised of behavioral, cognitive, affective, and social components, is…

ChatGPT and generative AI technologies have infiltrated our learning spaces, and, as a result, schools may be changed forever. While some educators may seek to ban the use of chatbots, motivated by a fear of the rampant plagiarism the technology might invite, I, however, write this dissertation with the intent of finding uses for AI as a…

Background: Despite educational advances, poor mathematics achievement persists among K-12 students, particularly in rural areas with limited resources and skilled teachers. Artificial Intelligence (AI) based systems have increasingly been adopted to support the diverse learning needs of students and have been shown to enhance mathematics…

With the prevalence of Large Language Model-based chatbots, middle school students are increasingly likely to engage with these tools to complete their assignments, raising concerns about its potential to harm students' learning motivation and learning outcomes. However, we know little about its real impact. Through quasi-experiment research with…

The problem behind our research that was investigated was the evaluation of an artificial intelligence in education tool, namely ASSISTments by seventy one science and technology students in a small city. The objective was to find to what extent the students assimilate this tool. The data collection and instrumentation were done by the tool…

In recent years, various strategies have been employed to integrate ChatGPT into the field of second language (L2) teaching and learning. In line with such efforts, this study investigates the potential of ChatGPT as an automated writing evaluation (AWE) tool for L2 assessment, given the lack of systematic and quantitative investigation into human…

This paper systematically explores how Large Language Models (LLMs) generate explanations of code examples of the type used in intro-to-programming courses. As we show, the nature of code explanations generated by LLMs varies considerably based on the wording of the prompt, the target code examples being explained, the programming language, the…

Due to the difficulties of speech signal processing, there is still a considerable gap between the ability of machines to correctly process and that of human beings. In order to overcome the defects of isolated learning and noise sensitivity of SOM, this paper proposes a new time self-organization model (TSOM) from the perspective of deep…

One of the aims of the present study was to reveal and compare the performance of ChatGPT versions (GPT-4o, GPT-4, and GPT-3.5), MathGPT, and Gemini in solving 390 mathematical problems in interactive mathematics e-textbooks across various dimensions. The other aim was to identify the affordances and constraints of ChatGPT through the instrumental…

Caregivers (i.e., parents and members of a child's caring community) are underappreciated stakeholders in learning analytics. Although caregiver involvement can enhance student academic outcomes, many obstacles hinder involvement, most notably knowledge gaps with respect to modern school curricula. An emerging topic of interest in learning…

This study explores the use of Large Language Models (LLMs), specifically GPT-4, in analysing classroom dialogue--a key task for teaching diagnosis and quality improvement. Traditional qualitative methods are both knowledge- and labour-intensive. This research investigates the potential of LLMs to streamline and enhance this process. Using…

Although Machine Learning (ML) is found practically everywhere, few understand the technology behind it. This presents new challenges to extend computing education by including ML concepts in order to help students to understand its potential and limits and empowering them to become creators of intelligent solutions. Therefore, we developed an…

In the United States the number of English Language Learner students is steadily increasing. Many ELLs speak and understand limited English, resulting in achievement that lags far behind that of their classmates (Thomas, 2015). Recruiting the support of educators who come in contact with ELL students on a daily basis promoted a solution to this…

Large language models have recently been able to perform well in a wide variety of circumstances. In this work, we explore the possibility of large language models, specifically GPT-3, to write explanations for middle-school mathematics problems, with the goal of eventually using this process to rapidly generate explanations for the mathematics…